The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "6734088 (up from 6632985 yesterday: 1.52 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "394875 (up from 391136 yesterday: 0.96 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.86



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1897380 24720 1.32 109132 921 0.85 5.75
Brazil 614941 0 0.00 34021 0 0.00 5.53
Russia 449256 8718 1.98 5520 144 2.68 1.23
United Kingdom 284734 1655 0.58 40344 357 0.89 14.17
Spain 240978 318 0.13 27134 1 0.00 11.26
India 236184 9471 4.18 6649 286 4.49 2.82
Italy 234531 518 0.22 33774 85 0.25 14.40
France 190180 611 0.32 29114 46 0.16 15.31
Peru 187400 4202 2.29 5162 131 2.60 2.75
Germany 184924 452 0.25 8658 23 0.27 4.68
Turkey 168340 930 0.56 4648 18 0.39 2.76
Iran 167156 2886 1.76 8134 63 0.78 4.87
Chile 122499 4207 3.56 1448 92 6.78 1.18
Mexico 110026 4346 4.11 13170 625 4.98 11.97
Canada 95947 678 0.71 7778 61 0.79 8.11
Saudi Arabia 95748 2591 2.78 642 31 5.07 0.67
Pakistan 89249 3985 4.67 1838 68 3.84 2.06
China 84177 6 0.01 4638 0 0.00 5.51
Qatar 65495 1754 2.75 49 4 8.89 0.07
Bangladesh 60391 2828 4.91 811 30 3.84 1.34
Belgium 58907 140 0.24 9566 18 0.19 16.24
Netherlands 47358 210 0.45 6024 15 0.25 12.72
Belarus 46868 887 1.93 259 6 2.37 0.55
South Africa 43434 2642 6.48 908 60 7.08 2.09
Sweden 42939 1056 2.52 4639 77 1.69 10.80
Ecuador 41575 609 1.49 3534 48 1.38 8.50
United Arab Emirates 37642 624 1.69 274 1 0.37 0.73
Singapore 37183 261 0.71 24 0 0.00 0.06
Colombia 36759 3293 9.84 1204 105 9.55 3.28
Portugal 33969 377 1.12 1465 10 0.69 4.31
Egypt 31115 1348 4.53 1166 40 3.55 3.75
Switzerland 30936 23 0.07 1921 0 0.00 6.21
Kuwait 30644 723 2.42 244 8 3.39 0.80
Indonesia 29521 703 2.44 1770 49 2.85 6.00
Ukraine 26542 561 2.16 770 15 1.99 2.90
Poland 25410 362 1.45 1137 20 1.79 4.47
Ireland 25163 21 0.08 1670 6 0.36 6.64
Argentina 21037 840 4.16 632 24 3.95 3.00
Philippines 20626 244 1.20 987 3 0.30 4.79
Romania 20103 196 0.98 1316 11 0.84 6.55
Afghanistan 18969 915 5.07 309 9 3.00 1.63
Dominican Republic 18708 389 2.12 525 5 0.96 2.81
Israel 17562 67 0.38 291 0 0.00 1.66
Japan 16958 47 0.28 916 5 0.55 5.40
Austria 16843 38 0.23 672 2 0.30 3.99
Panama 15463 419 2.79 370 7 1.93 2.39
Oman 15086 770 5.38 72 5 7.46 0.48
Bahrain 13835 539 4.05 22 1 4.76 0.16
Bolivia 12728 483 3.94 427 12 2.89 3.35
Kazakhstan 12312 245 2.03 52 0 0.00 0.42
Denmark 12075 64 0.53 586 4 0.69 4.85
Nigeria 11844 328 2.85 333 10 3.10 2.81
Armenia 11817 596 5.31 183 7 3.98 1.55
Korea, South 11719 51 0.44 273 0 0.00 2.33
Serbia 11667 96 0.83 247 1 0.41 2.12
Algeria 9935 104 1.06 690 9 1.32 6.95
Iraq 9846 1006 11.38 285 14 5.17 2.89
Czechia 9529 35 0.37 327 1 0.31 3.43
Moldova 9247 229 2.54 323 8 2.54 3.49
Ghana 9168 283 3.19 42 4 10.53 0.46
Norway 8522 18 0.21 238 0 0.00 2.79
Malaysia 8266 19 0.23 116 1 0.87 1.40
Morocco 8071 68 0.85 208 0 0.00 2.58
Cameroon 7392 603 8.88 205 2 0.99 2.77
Australia 7252 5 0.07 102 0 0.00 1.41
Finland 6941 30 0.43 322 0 0.00 4.64
Azerbaijan 6860 338 5.18 82 4 5.13 1.20
Guatemala 6485 331 5.38 216 58 36.71 3.33
Honduras 5971 91 1.55 248 5 2.06 4.15
Sudan 5865 151 2.64 347 14 4.20 5.92

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 376208 1075 0.29 30236 62 0.21 8.04 19338.77 1554.27 1 in 52
New Jersey 163336 806 0.50 12049 79 0.66 7.38 18389.16 1356.53 1 in 54
Illinois 125915 1156 0.93 5795 59 1.03 4.60 9936.61 457.31 1 in 101
California 125738 3570 2.92 4529 85 1.91 3.60 3182.26 114.62 1 in 314
Massachusetts 102557 494 0.48 7235 34 0.47 7.05 14757.46 1041.08 1 in 68
Pennsylvania 78815 480 0.61 5898 66 1.13 7.48 6156.47 460.71 1 in 162
Texas 72548 1993 2.82 1812 36 2.03 2.50 2502.01 62.49 1 in 400
Florida 61488 1305 2.17 2660 53 2.03 4.33 2862.87 123.85 1 in 349
Michigan 58525 284 0.49 5613 18 0.32 9.59 5860.20 562.04 1 in 171
Maryland 56770 912 1.63 2702 34 1.27 4.76 9390.18 446.93 1 in 106
Georgia 50621 762 1.53 2174 25 1.16 4.29 4767.73 204.76 1 in 210
Virginia 48532 676 1.41 1454 9 0.62 3.00 5685.89 170.35 1 in 176
Connecticut 43460 221 0.51 4038 31 0.77 9.29 12189.76 1132.59 1 in 82
Louisiana 41989 427 1.03 2912 29 1.01 6.94 9032.24 626.40 1 in 111
Ohio 37758 476 1.28 2357 17 0.73 6.24 3230.19 201.64 1 in 310
Indiana 36578 482 1.34 2258 27 1.21 6.17 5433.28 335.40 1 in 184
North Carolina 33295 1220 3.80 1015 9 0.89 3.05 3174.56 96.78 1 in 315
Colorado 27601 255 0.93 1524 12 0.79 5.52 4792.89 264.64 1 in 209
Minnesota 26980 707 2.69 1159 33 2.93 4.30 4784.00 205.51 1 in 209
Tennessee 25664 474 1.88 408 7 1.75 1.59 3755.79 59.71 1 in 266
Arizona 24439 1553 6.79 1015 16 1.60 4.15 3209.37 133.29 1 in 312
Washington 22993 264 1.16 1149 11 0.97 5.00 3019.48 150.89 1 in 331
Iowa 21154 348 1.67 593 10 1.72 2.80 6704.76 187.95 1 in 149
Wisconsin 20249 357 1.79 633 7 1.12 3.13 3477.76 108.72 1 in 288
Alabama 19387 315 1.65 676 23 3.52 3.49 3953.96 137.87 1 in 253
Mississippi 16769 209 1.26 803 9 1.13 4.79 5634.46 269.81 1 in 177
Rhode Island 15441 116 0.76 772 16 2.12 5.00 14575.77 728.74 1 in 69
Nebraska 15406 267 1.76 187 0 0.00 1.21 7964.19 96.67 1 in 126
Missouri 14572 134 0.93 805 10 1.26 5.52 2374.28 131.16 1 in 421
South Carolina 13453 1038 8.36 539 38 7.58 4.01 2612.89 104.69 1 in 383
Utah 11252 439 4.06 120 3 2.56 1.07 3509.72 37.43 1 in 285
Kentucky 10977 272 2.54 466 8 1.75 4.25 2456.98 104.30 1 in 407
Kansas 10306 139 1.37 232 5 2.20 2.25 3537.55 79.63 1 in 283
Delaware 9773 27 0.28 388 2 0.52 3.97 10036.31 398.45 1 in 100
Nevada 9309 180 1.97 436 6 1.40 4.68 3022.25 141.55 1 in 331
District of Columbia 9199 79 0.87 479 4 0.84 5.21 13034.38 678.71 1 in 77
New Mexico 8672 319 3.82 387 4 1.04 4.46 4135.77 184.56 1 in 242
Arkansas 8651 226 2.68 152 1 0.66 1.76 2866.63 50.37 1 in 349
Oklahoma 7007 100 1.45 345 1 0.29 4.92 1770.80 87.19 1 in 565
South Dakota 5277 30 0.57 64 0 0.00 1.21 5965.01 72.34 1 in 168
New Hampshire 4953 77 1.58 278 5 1.83 5.61 3642.69 204.46 1 in 275
Puerto Rico 4620 112 2.48 141 1 0.71 3.05 1446.60 44.15 1 in 691
Oregon 4570 96 2.15 161 2 1.26 3.52 1083.52 38.17 1 in 923
Idaho 3111 121 4.05 83 0 0.00 2.67 1735.99 46.32 1 in 576
North Dakota 2745 39 1.44 71 5 7.58 2.59 3602.07 93.17 1 in 278
Maine 2482 36 1.47 98 3 3.16 3.95 1846.43 72.91 1 in 542
West Virginia 2119 17 0.81 84 5 6.33 3.96 1185.69 47.00 1 in 843
Vermont 1027 1 0.10 55 0 0.00 5.36 1645.86 88.14 1 in 608
Wyoming 933 12 1.30 17 0 0.00 1.82 1612.07 29.37 1 in 620
Hawaii 664 9 1.37 17 0 0.00 2.56 468.97 12.01 1 in 2132
Montana 541 2 0.37 18 1 5.88 3.33 506.19 16.84 1 in 1976
Alaska 523 11 2.15 10 0 0.00 1.91 714.93 13.67 1 in 1399

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2359512 376208 15.94 121289.46
New Jersey 918891 163336 17.78 103453.20
Illinois 1000919 125915 12.58 78987.78
California 2238463 125738 5.62 56652.42
Massachusetts 634769 102557 16.16 91340.20
Pennsylvania 499206 78815 15.79 38994.41
Texas 1061576 72548 6.83 36611.27
Florida 1134940 61488 5.42 52842.62
Michigan 627547 58525 9.33 62837.29
Maryland 347726 56770 16.33 57516.44
Georgia 507788 50621 9.97 47825.92
Virginia 363770 48532 13.34 42618.38
Connecticut 287387 43460 15.12 80606.97
Louisiana 420786 41989 9.98 90515.09
Ohio 446195 37758 8.46 38171.89
Indiana 291638 36578 12.54 43319.74
North Carolina 482147 33295 6.91 45970.93
Colorado 203424 27601 13.57 35324.42
Minnesota 322340 26980 8.37 57156.21
Tennessee 482172 25664 5.32 70563.40
Arizona 263865 24439 9.26 34651.18
Washington 383587 22993 5.99 50373.26
Iowa 180663 21154 11.71 57261.17
Wisconsin 323581 20249 6.26 55574.87
Alabama 239473 19387 8.10 48840.29
Mississippi 193113 16769 8.68 64886.87
Rhode Island 170739 15441 9.04 161171.69
Nebraska 114822 15406 13.42 59357.69
Missouri 224542 14572 6.49 36585.68
South Carolina 231299 13453 5.82 44923.65
Utah 232197 11252 4.85 72426.71
Kentucky 242417 10977 4.53 54260.24
Kansas 113653 10306 9.07 39011.59
Delaware 66729 9773 14.65 68526.87
Nevada 166107 9309 5.60 53928.11
District of Columbia 51861 9199 17.74 73483.63
New Mexico 217757 8672 3.98 103850.62
Arkansas 147611 8651 5.86 48913.04
Oklahoma 216471 7007 3.24 54706.24
South Dakota 53363 5277 9.89 60320.42
New Hampshire 79765 4953 6.21 58663.20
Puerto Rico 4620 4620 100.00 1446.60
Oregon 143246 4570 3.19 33962.76
Idaho 53624 3111 5.80 29923.02
North Dakota 76856 2745 3.57 100852.69
Maine 57532 2482 4.31 42799.80
West Virginia 108518 2119 1.95 60721.36
Vermont 39117 1027 2.63 62688.61
Wyoming 27612 933 3.38 47708.98
Hawaii 52336 664 1.27 36963.79
Montana 45888 541 1.18 42935.02
Alaska 60990 523 0.86 83371.49

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 80229 2436 3.13 35156 43.82 42224 2849 139 5.13 3.55
Tamil Nadu 28694 1438 5.28 15762 54.93 12697 235 12 5.38 0.82
Delhi 26334 1330 5.32 10315 39.17 15311 708 49 7.44 2.69
Gujarat 19119 510 2.74 13011 68.05 4918 1190 35 3.03 6.22
Rajasthan 10084 222 2.25 7359 72.98 2507 218 5 2.35 2.16
Uttar Pradesh 9733 496 5.37 5648 58.03 3828 257 12 4.90 2.64
Madhya Pradesh 8996 234 2.67 5878 65.34 2734 384 7 1.86 4.27
State Unassigned 8192 582 7.65 0 0.00 8192 0 0 NaN 0.00
West Bengal 7303 427 6.21 2912 39.87 4025 366 11 3.10 5.01
Karnataka 4835 515 11.92 1693 35.02 3083 57 0 0.00 1.18
Bihar 4598 146 3.28 2233 48.56 2336 29 1 3.57 0.63
Andhra Pradesh 4250 138 3.36 2565 60.35 1612 73 2 2.82 1.72
Haryana 3597 316 9.63 1209 33.61 2364 24 0 0.00 0.67
Jammu and Kashmir 3324 182 5.79 1086 32.67 2202 36 1 2.86 1.08
Telangana 3290 143 4.54 1627 49.45 1550 113 8 7.62 3.43
Odisha 2608 130 5.25 1604 61.50 994 10 1 11.11 0.38
Punjab 2461 46 1.90 2069 84.07 344 48 1 2.13 1.95
Assam 2244 128 6.05 510 22.73 1727 4 0 0.00 0.18
Kerala 1700 111 6.99 712 41.88 973 15 0 0.00 0.88
Uttarakhand 1215 62 5.38 344 28.31 856 11 1 10.00 0.91
Jharkhand 922 95 11.49 435 47.18 480 7 1 16.67 0.76
Chhattisgarh 863 90 11.64 231 26.77 630 2 0 0.00 0.23
Tripura 694 48 7.43 173 24.93 521 0 0 NaN 0.00
Himachal Pradesh 393 10 2.61 185 47.07 199 6 0 0.00 1.53
Chandigarh 309 7 2.32 273 88.35 31 5 0 0.00 1.62
Goa 196 30 18.07 65 33.16 131 0 0 NaN 0.00
Manipur 137 13 10.48 38 27.74 99 0 0 NaN 0.00
Nagaland 107 13 13.83 0 0.00 107 0 0 NaN 0.00
Puducherry 104 14 15.56 43 41.35 61 0 0 NaN 0.00
Ladakh 97 3 3.19 48 49.48 48 1 0 0.00 1.03
Arunachal Pradesh 46 4 9.52 1 2.17 45 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 33 0 0.00 13 39.39 19 1 0 0.00 3.03
Mizoram 24 2 9.09 1 4.17 23 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 14 0 0.00 1 7.14 13 0 0 NaN 0.00
Sikkim 3 1 50.00 0 0.00 3 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 800276 89928 402 0.45 11.24 2960 120 19853 16222 18.04
Piemonte 335814 30807 49 0.16 9.17 743 40 4369 3927 12.75
Emilia-Romagna 347146 27877 17 0.06 8.03 281 38 2512 4167 14.95
Veneto 713500 19174 6 0.03 2.69 96 2 1229 1938 10.11
Toscana 266508 10129 7 0.07 3.80 55 23 857 1063 10.49
Liguria 113329 9786 14 0.14 8.64 142 6 244 1486 15.18
Lazio 268561 7773 9 0.12 2.89 480 51 2710 754 9.70
Marche 111431 6740 2 0.03 6.05 50 5 1293 989 14.67
Campania 212486 4822 0 0.00 2.27 133 7 774 425 8.81
Puglia 127520 4507 4 0.09 3.53 111 5 846 521 11.56
P.A. Trento 92916 4433 0 0.00 4.77 8 1 123 464 10.47
Sicilia 160639 3448 1 0.03 2.15 54 6 872 276 8.00
Friuli Venezia Giulia 142246 3280 1 0.03 2.31 25 2 180 338 10.30
Abruzzo 80972 3257 2 0.06 4.02 103 4 670 415 12.74
P.A. Bolzano 69466 2599 1 0.04 3.74 10 2 101 292 11.24
Umbria 74142 1431 0 0.00 1.93 12 2 29 76 5.31
Sardegna 60794 1359 2 0.15 2.24 11 0 67 131 9.64
Valle d’Aosta 15587 1187 0 0.00 7.62 9 0 10 143 12.05
Calabria 74186 1159 1 0.09 1.56 18 0 97 97 8.37
Molise 15568 436 0 0.00 2.80 0 2 122 23 5.28
Basilicata 31485 399 0 0.00 1.27 0 0 18 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 52398 255 0.49 4935 50 1.02 9.42 6137.27 578.03 1 in 163
Ontario 31359 413 1.33 2446 10 0.41 7.80 2131.55 166.26 1 in 469
Alberta 7098 7 0.10 146 0 0.00 2.06 1608.38 33.08 1 in 622
British Columbia 2632 0 0.00 167 1 0.60 6.34 514.98 32.68 1 in 1942
Nova Scotia 1058 0 0.00 61 0 0.00 5.77 1082.40 62.41 1 in 924
Saskatchewan 649 1 0.15 11 0 0.00 1.69 549.22 9.31 1 in 1821
Manitoba 300 2 0.67 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 136 0 0.00 1 0 0.00 0.74 174.36 1.28 1 in 5735
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1601 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1102 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 677 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Chongqing 579 6 1.04
Sichuan 578 3 0.52
Fujian 358 1 0.28
Hebei 328 6 1.83
Shaanxi 309 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5798.84 333.53 1 in 172
Brazil 2938.08 162.55 1 in 340
Russia 3109.04 38.20 1 in 322
United Kingdom 4285.58 607.22 1 in 233
Spain 5164.55 581.53 1 in 194
India 176.39 4.97 1 in 5669
Italy 3877.83 558.43 1 in 258
France 2838.93 434.60 1 in 352
Peru 5825.30 160.46 1 in 172
Germany 2233.65 104.58 1 in 448
Turkey 2083.16 57.52 1 in 480
Iran 2059.59 100.22 1 in 486
Chile 6786.65 80.22 1 in 147
Mexico 851.59 101.93 1 in 1174
Canada 2552.46 206.92 1 in 392
Saudi Arabia 2906.74 19.49 1 in 344
Pakistan 453.04 9.33 1 in 2207
China 60.73 3.35 1 in 16465
Qatar 24818.11 18.57 1 in 40
Bangladesh NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 205940 21782 10.58
Cook Illinois 81344 3880 4.77
Los Angeles California 61068 2569 4.21
Nassau New York 40797 2132 5.23
Suffolk New York 40239 1918 4.77
Westchester New York 33854 1389 4.10
Philadelphia Pennsylvania 23407 1411 6.03
Middlesex Massachusetts 22583 1695 7.51
Wayne Michigan 20663 2499 12.09
Miami-Dade Florida 19056 760 3.99
Hudson New Jersey 18875 1205 6.38
Suffolk Massachusetts 18858 922 4.89
Bergen New Jersey 18463 1611 8.73
Essex New Jersey 18019 1702 9.45
Passaic New Jersey 16387 957 5.84
Prince George’s Maryland 16169 587 3.63
Middlesex New Jersey 16137 1025 6.35
Union New Jersey 16038 1092 6.81
Fairfield Connecticut 15914 1304 8.19
Essex Massachusetts 15064 990 6.57
Harris Texas 13940 253 1.81
Rockland New York 13297 655 4.93
Montgomery Maryland 12434 645 5.19
Maricopa Arizona 12091 479 3.96
Fairfax Virginia 11904 410 3.44
New Haven Connecticut 11673 999 8.56
Worcester Massachusetts 11600 813 7.01
Dallas Texas 11541 260 2.25
Providence Rhode Island 11052 0 0.00
Hartford Connecticut 10677 1277 11.96
Orange New York 10484 444 4.24
Marion Indiana 10188 604 5.93
District of Columbia District of Columbia 9199 479 5.21
Hennepin Minnesota 9099 657 7.22
Ocean New Jersey 8954 765 8.54
Riverside California 8777 355 4.04
Lake Illinois 8647 334 3.86
Norfolk Massachusetts 8646 855 9.89
Milwaukee Wisconsin 8547 317 3.71
Oakland Michigan 8457 1007 11.91
Monmouth New Jersey 8428 630 7.48
King Washington 8371 576 6.88
Plymouth Massachusetts 8313 581 6.99
DuPage Illinois 7997 394 4.93
San Diego California 7940 288 3.63
Jefferson Louisiana 7803 457 5.86
Bristol Massachusetts 7573 455 6.01
Broward Florida 7572 327 4.32
Montgomery Pennsylvania 7416 721 9.72
Orleans Louisiana 7206 511 7.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc